Screening Metaverse Stocks with a Rising 30-Day Average

Summary

This article outlines a Chinese A-share screen that selects stocks associated with the metaverse concept, requires an upward-moving 30-day average, and excludes Beijing-listed shares. Its final suggested version also adds valuation filters: price-to-earnings below 50 and price-to-book below 5. The article includes indicator definitions and sample Python logic for applying the conditions.

The rationale combines a thematic industry label with a simple trend filter and proposed valuation limits. The article mentions historical analysis only in general terms and supplies no dates, benchmark, backtest results, or evidence that the screen generates excess returns. It identifies overfitting, narrow selection, and changes in economic conditions or policy as risks. It suggests broadening the analysis with additional fundamental and technical measures, relaxing restrictive filters, or exploring adaptive methods. These are proposed refinements; the document does not show that they improve results.

Key ideas

• The screen selects metaverse-related shares whose 30-day moving average is rising and excludes Beijing shares.
• The suggested refined rules add price-to-earnings and price-to-book ceilings.
• The article gives sample indicator and data-screening logic but no reproducible performance statistics.
• It warns that narrow conditions and reliance on historical patterns may make results fragile.

Tags

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.